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LanceDBThe multimodal lakehouse for AI, accelerating large-scale data curation and feature engineering.
vs
turbopufferVector and full-text search built on object storage
Comparison · Vector Databases · weekly run Nov 2

LanceDB vs turbopuffer

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

LanceDB is the stronger AI pick in Vector Databases: it has a visibility score of 5.7 versus 4.6 for turbopuffer, and ranks ahead in 71% of the answers that name both.

Choose LanceDB if…

  • You want the brand AI engines rank higher (5.7 vs 4.6)
  • You need SOC 2 Type II or HIPAA or GDPR coverage
  • Open-source, serverless vector database
  • Embeds directly into applications and notebooks

Choose turbopuffer if…

  • AI answers describe it more positively (33% vs 31% positive)
  • You need SOC 2 Type 2 or HIPAA (Business Associate Agreement available) or GDPR-ready DPA coverage
  • serverless vector and full-text search built on object storage
  • high performance at a fraction of traditional costs

AI visibility side by side

Latest weekly run · Nov 2

Metric LanceDB turbopuffer
Visibility score5.7%4.6%
Change vs last weekNewNew
Rank in Vector Databases#11#14
Share of voice2.8%1.9%
Mentions this run139
Positive in AI answers31%33%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2LanceDB 6%

LanceDB 0pp · turbopuffer 0pp over 0 weekly runs.

Engine by engine

LanceDB leads on 2 of 3 engines

ChatGPT
6.1%
6.7%
AI Mode
6.1%
4.3%
Perplexity
5%
2.8%
LanceDBturbopuffer

Head to head in AI answers

7 engine answers name both brands

5LanceDB ranked higher
2turbopuffer ranked higher

Features, pricing & fit

DimensionLanceDBturbopuffer
Pricing model—Usage-based
Entry price—$16 / mo
Free plan—No
DeploymentOpen-source edition embedded in the application; LanceDB Cloud serverless; Enterprise in the customer's own cloud.Multi-tenant cloud on usage-based plans; single-tenant and bring-your-own-cloud (BYOC) deployments on the enterprise plan.
ComplianceSOC 2 Type II, HIPAA, GDPRSOC 2 Type 2, HIPAA (Business Associate Agreement available), GDPR-ready DPA
SupportContact form, with a reply promised within 48 hoursCommunity Slack and email on all plans, Private Slack channel on higher plans, 24/7 support and 99.95% uptime SLA on enterprise
Founded20222023
HeadquartersSan Francisco, CaliforniaOttawa, Ontario, Canada
Employees11–5011–50
FundingSeries ASeed
Best forFeature teams building production AI applications with vector search and multimodal data.Teams building AI applications, semantic search or recommendation systems that need large-scale vector and full-text search at lower cost.

Plans side by side

LanceDB

Pricing not available.

turbopuffer

launch$16month minimum usage
scale$256month minimum usage
enterprise$4,096month minimum usage (>= $4,096/month, 35% usage premium)
turbopuffer pricing

Pros and cons

Themes from the AI answers that mention each brand

LanceDB

  • Open-source, serverless vector database
  • Embeds directly into applications and notebooks
  • Free local install without cloud signup
  • Seamless embedded or lakehouse table use

    turbopuffer

    • serverless vector and full-text search built on object storage
    • high performance at a fraction of traditional costs
    • cloud-native, cost-conscious design
    • ranked among highest vendors in an industry ranking

      Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

      Cite as: SlateIndex, “LanceDB vs turbopuffer”, https://slateindex.ai/compare/lancedb-vs-turbopuffer, data of Nov 2, 2026. Licence: CC BY 4.0.